65 results about "Web performance" patented technology

The invention discloses a service operation and maintenance method and system based on a cloud service framework, and relates to the technical field of cloud computing, and the method comprises the steps: collecting and formatting various link flow data, and carrying out the transverse network performance monitoring and topology generation; acquiring performance index data of the micro-service, and performing multi-dimensional anomaly detection and analysis; and through fault correlation analysis and positioning, automatic repair is carried out. The method provided by the invention is helpful for quickly identifying network bottlenecks and potential safety problems, provides accurate basic data for transverse network performance monitoring and topology generation, optimizes early warning and quick positioning performance, effectively reduces the influence of system faults on services, realizes intelligentization and automation of fault processing, and improves the working efficiency. The fault processing time is shortened, the operation and maintenance workload is reduced, and the stability and reliability of the system are improved.

The invention provides a dynamic encryption communication method, system and device for an Internet of Things device, and a storage medium, and the method comprises the steps: obtaining the current geographic position information of the Internet of Things device, and determining the security demand level of the Internet of Things device according to the current geographic position information and a preset geographic position list of different security levels; acquiring a network performance index of a mobile network shared channel at the position of the Internet of Things equipment, and determining a congestion degree parameter of a surrounding network environment according to the network performance index; classifying according to the service type of the Internet of Things equipment to obtain a service volume level; and integrating the obtained security demand level, the congestion degree parameter and the service volume level, dynamically selecting a corresponding encryption algorithm to encrypt sensitive data of the Internet of Things equipment, and transmitting the encrypted data to a cloud server. By dynamically selecting the encryption algorithm and adjusting according to the location information, the security and the energy efficiency can be balanced in different scenes.

The present invention relates to the technical field of computing power resource scheduling, and provides a computing power Internet scheduling service method and system based on network performance comprehensive weight decision. On the basis of the resource requirements of a user, a computing power network service platform combines storage platforms and computing power platforms that are selected and do not belong to the same data center one by one to obtain a plurality of storage platform and computing power platform combinations; on the basis of values of different network performance metrics between the storage platform and the computing power platform in each combination, subjective weight vectors of different network performance metrics, objective weight vectors of different network performance metrics, and the resource requirements of the user, the computing power network service platform constructs an objective function under a storage and computing separation scenario or a data circulation scenario, and solves the function by means of an optimization algorithm to obtain an optimal storage platform and computing power platform combination that meets the requirements of the user; and the computing power network service platform deploys job and computing data submitted by the user to the optimal storage platform and computing power platform combination for storage and computing. The resource utilization rate and the task scheduling efficiency are improved.

The invention provides a video conference method, system and device and a storage medium, and relates to the technical field of network communication, the method comprises the following steps: obtaining network performance information, user behavior information, video quality information and retrieval service use information, the retrieval service use information comprising a retrieval service calling state; taking the network performance information, the user behavior information and the video quality information as input, and obtaining a predicted code rate through a pre-constructed first parameter adjustment model; judging whether the retrieval service is called or not according to the calling state of the retrieval service, and if not, adjusting the video parameters according to the predicted code rate; and if yes, obtaining a preset resolution and a preset frame rate, calculating a video code rate to obtain a target code rate, and adjusting the video parameters according to the target code rate. According to the method, the optimal video code rate is predicted in the conference process through the pre-trained first parameter adjustment model, and the video data transmission parameters are adjusted according to the retrieval behavior of the user, so that the information acquisition efficiency of the user is improved.

The invention provides a color image compression method and system for improving Web performance, and is applied to the technical field of image processing. The method comprises the steps of performing edge detection on a grey-scale map corresponding to a to-be-processed color image by considering block statistical characteristics of the grey-scale map corresponding to the to-be-processed color image, and determining an edge region and a non-edge region of the to-be-processed color image; respectively carrying out color sampling on the edge region and the non-edge region at different sampling densities to obtain the occurrence frequency of each color in the to-be-processed color image and generate a color list of the to-be-processed color image; performing color quantization on each pixel of the to-be-processed color image based on the occurrence frequency and the region type weight of each color in the color list to obtain a quantized image; and performing error diffusion on the quantized image based on the adaptive error diffusion coefficient to obtain a compressed image corresponding to the to-be-processed color image. According to the method, the problems of distortion, color restoration distortion and edge blurring of the existing compressed image in a text region are solved.

The invention provides an nginx monitoring index scheme of a message queue. The method belongs to the technical field of web performance monitoring. According to the scheme, the method comprises the steps that Filebeat serves as a log collector and is deployed on an Nginx server, and access logs and error logs of the Nginx are captured in real time; the Filebeat encapsulates the collected log data into a message, and pushes the message to a Kafka message queue through a TCP (Transmission Control Protocol); the consumer pulls the log message from the Kafka, and analyzes and processes the Nginx access log in the message; and through an intelligent aggregation algorithm, performing aggregation processing on the Request-URLs with the same service meaning, and summarizing the Request-URLs as a monitoring index set. Nginx logs are captured in real time through Filebeat and quickly pushed to Kafka, and it is ensured that a monitoring system can respond to changes in the logs in time.

The invention relates to the technical field of network node management, in particular to a distributed network node management system based on the Internet of Things, which comprises a network performance evaluation module, a node load optimization module, a node state monitoring module and a fault prevention operation module. According to the invention, by collecting the delay and data packet loss rate data of each network node in real time and evaluating the real-time performance of the network node, performance monitoring and stability evaluation are realized, the node processing capability is evaluated in combination with bandwidth information, and load distribution is optimized, so that network state changes can be responded more flexibly, resource utilization is optimized, and the network quality is improved. The deviation degree and the abnormal state of the node can be found in time through the operation key indexes of the Internet of Things technology monitoring equipment, the continuity and the stability of the network service are guaranteed, and the network service interruption is prevented by carrying out detailed health assessment on the network node and adjusting the network configuration parameters and activating the standby node according to the assessment result. And the reliability and efficiency of the network are improved.

In some examples, a method includes receiving, from a plurality of agents executing on scatter network devices, network performance metrics, at least some of the scatter network devices serving as endpoints for logical communication channels formed via a communication channel provider for which a first Internet service provider provides Internet backhaul and the logical communication channels traverse a first relay; aggregating the network performance metrics received from the plurality of agents; analyzing the aggregated network performance metrics to determine operational characteristics of a network; determining, based on the operational characteristics of the network, that the Internet service provider has transitioned from the first Internet service provider to a second Internet service provider to provide the Internet backhaul; and responsive to the determining, providing an instruction to the plurality of agents to modify operational settings of the agents to form logical communication channels that traverse a second relay.

The invention relates to the technical field of Web performance optimization, and provides a resource loading optimization method based on dynamic network quality prediction, which comprises the following steps: responding to a webpage resource loading request initiated by a browser end; triggering a Service Worker interceptor registered in the browser environment to intercept the network resource loading request, and collecting multi-dimensional network performance index data of the browser environment in real time; calling a lightweight prediction model operated at the browser end to predict the network state in the target time period, and outputting a prediction result of the network quality grade in the future target time period; a resource loading strategy corresponding to the network quality grade is determined, a Service Worker interceptor executes a corresponding scheduling operation according to the resource loading strategy, and a network state prediction mechanism based on high-frequency sampling and time sequence modeling, a hierarchical dynamic scheduling method of the resource loading strategy and a model updating process driven by closed-loop feedback are introduced. And multi-dimensional safety guarantee measures are provided.

Methods for streaming pageload telemetry data as open telemetry data in a push-based approach are provided. Specifically, methods involve obtaining, from a monitoring agent, telemetry data associated with one or more network communications provided to a web-based service and generating web performance telemetry data from the telemetry data by injecting one or more attributes about at least one of the monitoring agent or the one or more network communications. The one or more attributes are obtained separately from the telemetry data. The methods further involve streaming the web performance telemetry data to one or more observability services.

The invention provides a cloud application intelligent scheduling method and device, and the method comprises the steps: determining to-be-selected Internet data center (IDC) machine rooms when a user applies for the use of a cloud application, obtaining the value of a key parameter affecting the instance scheduling for each to-be-selected IDC machine room if the number of the to-be-selected IDC machine room is greater than 1, and obtaining the value of the key parameter of each to-be-selected IDC machine room; key parameters are obtained, the score of the values of the key parameters is calculated, the score of the IDC machine room is calculated according to the score of the values of the key parameters, and the key parameters comprise at least two of the distance between the user and the IDC machine room, the regional matching degree between the user and the IDC machine room and the network performance parameter between the user and the IDC machine room; according to the embodiment of the invention, the target IDC machine room is selected from the to-be-selected IDC machine rooms according to the scores of the to-be-selected IDC machine rooms, and an idle instance is selected from the target IDC machine room to be allocated to the user to operate the cloud application, so that the instances in the IDC machine rooms can be effectively scheduled, and smooth cloud application service can be provided for the user.

The invention discloses an IP address allocation method, device and equipment for edge nodes, the method is applied to the technical field of the Internet of Things, and the method comprises the steps: obtaining the total number of a plurality of edge nodes in an edge calculation scene and the average number of Pods operated by each edge node, and configuring an initial IP address pool; grouping the plurality of edge nodes to obtain a plurality of edge node groups; determining an IP address set corresponding to each edge node group according to a network segment where each IP address in the initial IP address pool is located; determining the priority of each edge node according to the load index value corresponding to each edge node and the network delay data; and allocating the IP address of each edge node according to the IP address corresponding to each edge node group and the priority of each edge node. According to the invention, the use efficiency of the IP address in the edge node is optimized, and the network performance and reliability are enhanced.

The present disclosure provides a method and device for attributing page loading performance, an equipment and a storage medium, relates to the technical field of computers, in particular to the field of web performance monitoring. The specific implementation scheme is as follows: determining a comparison result between a loading performance statistical indicator of a target page in an i th time period and a loading performance statistical indicator of the target page in an i+k th time period; determining an influencing factor of the loading performance of the target page in the i+k th time period based on the comparison result and the type of the loading performance statistical indicator, wherein i and k are positive integers. According to the technology of the present disclosure, the loading performance of the target page is analyzed.

The present disclosure provides a method and system for monitoring performance data associated with one or more parameters of a network. The one or more parameters may include call release reasons (CRRS). The one or more parameters are selected by a user and performance data associated with the parameters is retrieved from a cache layer. One or more values associated with the one or more parameters are calculated based upon determining that the one or more values were not computed previously. An AI / ML engine generates data based on the one or more parameters for computing the one or more values. The determined values are stored in the cache layer for retrieving by one or more subsequent requests. Updated performance data is generated based on the one or more values and the retrieved performance data for rendering on a user interface.

In some examples, a method includes receiving, from a plurality of agents executing on scatter network devices, network performance metrics, at least some of the scatter network devices serving as endpoints for logical communication channels formed via a communication channel provider for which a first Internet service provider provides Internet backhaul and the logical communication channels traverse a first relay; aggregating the network performance metrics received from the plurality of agents; analyzing the aggregated network performance metrics to determine operational characteristics of a network; determining, based on the operational characteristics of the network, that the Internet service provider has transitioned from the first Internet service provider to a second Internet service provider to provide the Internet backhaul; and responsive to the determining, providing an instruction to the plurality of agents to modify operational settings of the agents to form logical communication channels that traverse a second relay.

This invention proposes a method for monitoring Nginx metrics using message queues. It belongs to the field of web performance monitoring technology. The method includes: deploying Filebeat as a log collector on the Nginx server to capture Nginx access logs and error logs in real time; encapsulating the collected log data into messages using Filebeat and pushing them to a Kafka message queue via TCP protocol; a consumer pulling log messages from Kafka and parsing and processing the Nginx access logs within the messages; and aggregating Request-URL pairs with the same business meaning using an intelligent aggregation algorithm, summarizing them into a set of monitoring metrics. By capturing Nginx logs in real time using Filebeat and quickly pushing them to Kafka, the monitoring system can respond promptly to changes in the logs.

The invention relates to the technical field of video conference remote supervision, in particular to a video conference remote supervision system and method based on meeting place environment information, and the method comprises the steps: collecting the network performance data of a corresponding server of a video conference in real time, and when the transmission delay in the network performance data of the corresponding server is monitored to be greater than or equal to a first preset threshold value, sending the video conference to a server; based on the real-time concentration state of the conference participants, a dynamic resource allocation strategy is automatically executed, and video stream resource occupation of non-core conference participants is reduced. According to the method, conference participant concentration degree evaluation based on visual analysis is introduced to serve as a key execution basis of a dynamic resource allocation strategy, so that when a server network is congested, a video conference can preferentially guarantee experience of key persons and concentrators, resources of non-core conference participants are limited to a certain extent, and the experience of the video conference is guaranteed. Therefore, the core conference experience is maximized under limited resources.

Systems, devices and automated processes are described for improving media streaming in a server device through intelligent selection of initial cache bitrates. The initial cache bitrate is selected with consideration to both historical data and operating parameters of the server device. Operating parameters can include an amount of cache memory that is available on the server device, as well as an amount of reserve space that is desired to be maintained in case of degradation in network performance or other factors that may occur during transcoding or transmission of the media stream.

A satellite Internet networking structure evaluation method, device, equipment and medium are provided in one or more embodiments of the present application. When evaluating the satellite Internet networking structure, the performance of the established satellite Internet networking structure is comprehensively determined according to the communication link performance indicators, coverage capability indicators, network performance indicators of the established satellite Internet networking nodes, and the first weight and the second weight corresponding to each indicator, so as to determine whether the networking structure meets the requirements. Moreover, the performance of the networking structure is determined through the obtained indicators and the corresponding first weight and second weight, thereby improving the accuracy of the evaluation of the satellite Internet networking structure.

The invention provides a data volume self-adaptive front-end large-screen data scrolling display method and system, and belongs to the technical field of front-end visualization and Web performance optimizing.The system monitors the number N of data items in real time and divides the data items into a small data volume level, a middle data volume level and a large data volume level according to threshold values N1 and N2, and the small data volume is laid in a tiled mode and scrolling is forbidden; local rolling is started for medium data volume, and m preloading buffers are set; virtual scrolling is started for a large amount of data, only a visible area is rendered, and n buffers are set. And the rolling speed is calculated according to v = k / N and is subjected to amplitude limiting. A scrolling progress bar is generated under a large amount of data, and a page prompt is provided when N exceeds a threshold. Destroying corresponding components and cleaning and monitoring, a timer and a cache DOM to release resources during policy degradation; and meanwhile, the rendering opportunity is optimized by using the request IdleCallback and the request Animation Frame, so that the fluency and the stability of the large screen in a data volume fluctuation scene are improved.

The application discloses a service chain-based traffic migration method and device, electronic equipment and storage medium. The method comprises the following steps: after obtaining a plurality of user traffics flowing through a target VNF instance, determining a target user traffic to be migrated and a target service chain corresponding to the target user traffic from the plurality of user traffics according to a traffic migration cost and a traffic routing cost corresponding to each user traffic, and migrating the target user traffic to the target service chain, wherein the traffic routing cost is used to represent the network performance of the virtual network after traffic migration, and the target service chain is a chain sequence set composed of a plurality of VNF instances through which the target user traffic flows. The scheme provided by the application can guarantee the traffic migration effect, reduce the traffic migration cost, and balance the traffic migration cost and the network performance.

The present invention discloses a blockchain-based Internet of Things method and system based on a lightweight consensus algorithm; the method is as follows: 1. Register a subgroup management node and a subgroup ordinary node to the Internet of Things system. 2. Set three roles: ordinary members, validators, and block producers. The subgroup management node serves as the validator; the ordinary node of the subgroup serves as the ordinary member. The block producer is elected by the validator; the rights and interests of the validator are updated and the block producer is re-elected in each working cycle. 3. The operations of all nodes in the Internet of Things layer correspond to the generation of Ethereum transactions; each block producer takes turns to package several Ethereum transactions into blocks, and enter the blockchain after consensus. The present invention realizes trusted management of the Internet of Things based on blockchain technology, reduces the single point of failure and network performance bottleneck of centralized trust, and improves the scalability of the system. The blockchain provides reliable distributed data authentication and evidence storage for Internet of Things devices.

Systems and methods for a customized Internet Service Provider (ISP) ranking dashboard include monitoring network traffic of a plurality of tenants of the cloud-based system, wherein the network traffic includes traffic originating from a plurality of computing devices distributed across various geolocations; analyzing the network traffic to determine network performance associated with a plurality of Internet Service Providers (ISPs); and providing a dashboard, wherein the dashboard includes one or more visualizations displaying the network performance of the plurality of ISPs.

The invention provides a method and system for arranging container resources based on computing network conditions, and relates to the field of cloud computing. The method comprises the following steps: building a functional architecture of a computing network scheduling platform, wherein the functional architecture comprises an application management module, a cloud network monitoring center, a resource management center and a collaborative scheduling center; receiving a computing power scheduling request, and obtaining real-time resource state data and network performance data of a plurality of data centers accessing the platform through a resource management center and a cloud network monitoring center; based on the service demand parameters, the real-time resource state data and the network performance data, evaluating each data center according to a preset collaborative scheduling strategy; and recommending an optimal target data center to perform calculation scheduling. According to the method, resources are dynamically planned through the computing network scheduling platform, and the problems of resource scrambling and service degradation of application resources in peak time are solved.

The invention provides a capacity expansion and shrinkage method, a network function (NF), a cloud platform and a storage medium, and the method comprises the steps that a first NF sends a first request message to the cloud platform, the first request message is used for requesting the cloud platform to expand the capacity of the first NF or shrink the capacity of the first NF, the first request message is determined according to the network performance index and / or the cloud platform resource occupation related data.

The application discloses a kind of Internet of Things terminal equipment wireless security detection method and system, comprising: the first recording flow of the protection profile of the Internet of Things terminal equipment to be measured in the normal communication wireless network environment is obtained;First recording flow is parsed and randomly deformed, and first attack packet is obtained;Second recording flow of protection profile is obtained in the process of playing first attack packet in wireless network, and second recording flow is compared and analyzed with first recording flow by artificial intelligence engine;If consistent, it is judged that the attack of first attack packet to equipment succeeds, and first attack packet and second recording flow are stored to vulnerability library;If inconsistent, and the analysis result corresponding to second recording flow is that equipment is not responsive, it is judged that the attack of first attack packet to equipment fails.The application directly records the flow of each security function component of the Internet of Things terminal equipment to be measured when facing different attack packets, without being limited to the network performance of the Internet of Things terminal equipment to be measured.

The invention relates to the technical field of cloud computing, and particularly provides a server cluster capacity determination method and device, equipment, a medium and a product, and the method comprises the steps: obtaining the current storage capacity data and network performance data of a to-be-evaluated target server cluster; the storage capacity data and the network performance data are input into an allocated capacity proportion value estimation model, an estimated allocated capacity proportion value of the target server cluster is obtained, the allocated capacity proportion value is the ratio of the allocated capacity to the super-component capacity, the super-component capacity is the product of the total storage capacity of the target server cluster and the super-component rate, and the estimated allocated capacity proportion value of the target server cluster is obtained. The super-division rate is used for indicating a multiplying power that the total storage capacity of the target server cluster is allowed to be excessively allocated; based on the estimated allocated capacity proportion value and the actual allocated capacity proportion value, determining the current allocable total capacity of the target server cluster; according to the invention, the capacity estimation accuracy of the server cluster is improved.

The present invention discloses a method and system for testing the performance of a mobile Internet based on the SDN architecture, belonging to the field of the Internet of Things. The present invention imports the obtained first network speed data set and the rated network speed into the first network performance evaluation model to output the first network performance evaluation value, constructs the second network performance evaluation model, imports the obtained second network data set into the second network performance evaluation model to output the second network performance evaluation value, obtains the calculated first network performance evaluation value and the second network performance evaluation value, imports them into the performance test value calculation formula to calculate the performance test value, and performs an abnormal warning for the mobile Internet according to the calculation result of the calculated performance test value, comprehensively analyzes the network transmission data speed within the network coverage of the mobile Internet terminal, and improves the performance test efficiency and test accuracy of the mobile Internet terminal.

The present application relates to the technical field of Internet of Things device health management, in particular to a smart bed hardware health degree self-evaluation and repair method and device. The method comprises the following steps: a device end acquires sensor original signal data based on a preset sliding time window, acquires a sensor signal quality index value based on the sensor original signal data, and sends the sensor signal quality index value to a cloud end; in a preset monitoring time period at the initial stage of a new algorithm going online, the device end acquires an algorithm performance index value based on data received by an algorithm module, and sends the algorithm performance index value to the cloud end; and the device end acquires network monitoring data based on a preset sliding time window, acquires a network performance index value based on the network monitoring data, and sends the network performance index value to the cloud end. This method can automatically monitor the hardware health condition, accurately diagnose the fault root cause, and intelligently execute the repair strategy, thereby significantly improving the reliability, data accuracy and service quality of the smart bed.

The present disclosure provides system (102) and method (300) for evaluating cellular sites through a mobile application. The system (102) employs one or more processors to initiate a sequence of performance tests, such as speed, video quality, web performance, and traceroute tests. A data acquisition module determines the match between site location identifiers, such as NCI, Cell ID, and PCI, and the device-measured identifiers. A global positioning system (GPS) module ensures the testing device's proximity to the cellular site. Test results are compared against predefined Key Performance Indicators (KPIs) for latency, download, and upload speeds by a verification module. The processors then ascertain if the tests satisfy the KPIs. An interface within the application allows for the re-performance of tests if KPIs are not met and displays the overall pass or fail status of the cellular site, streamlining the site assessment process for field engineers.